Efficient and Secure Access Control for IoT-based Environmental Monitoring

IF 1.5 0 ENGINEERING, MULTIDISCIPLINARY Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI:10.48084/etasr.6193
Asia Othman Aljahdali, Afnan Habibullah, Huda Aljohani
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Abstract

Environmental monitoring devices based on IoT collect a large amount of data about the environment and our surroundings. These data are collected and processed before being uploaded to third-party servers and accessed and viewed by ordinary or specialized users. However, they may hold sensitive information that should not be exposed to unauthorized users. Therefore, accessing this sensitive information must be strictly controlled and limited in order to prevent unauthorized access. This research intends to create an access control mechanism based on distributed ledger technologies. The idea is to use a hybrid of IOTA technology and Ciphertext-Policy Attribute-Based Signcryption (CP-ABSC) technology. The permissions to access these data are written in a token, and this token will be sent to the Tangle after being signcrypted with CP-ABSC. Consequently, the data will be safeguarded, their confidentiality and integrity will be maintained, and unauthorized individuals will be unable to access the information. The proposed system was evaluated in terms of performance and the results showed that the system is straightforward, rapid, and convenient to use. Furthermore, a security assessment was conducted by running several scenarios to evaluate its feasibility and protection.
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基于物联网的环境监测的高效安全访问控制
基于物联网的环境监测设备收集了大量关于环境和周围环境的数据。这些数据被收集和处理,然后上传到第三方服务器,供普通或专业用户访问和查看。但是,它们可能包含不应该暴露给未经授权的用户的敏感信息。因此,访问这些敏感信息必须严格控制和限制,以防止未经授权的访问。本研究旨在建立基于分布式账本技术的访问控制机制。这个想法是使用IOTA技术和基于密文策略属性的签名加密(CP-ABSC)技术的混合。访问这些数据的权限写入令牌中,该令牌将在使用CP-ABSC进行签名后发送给Tangle。因此,数据将受到保护,其保密性和完整性将得到维护,未经授权的个人将无法访问这些信息。对该系统进行了性能评价,结果表明该系统简单、快速、使用方便。此外,还通过运行几个场景来进行安全评估,以评估其可行性和保护。
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来源期刊
Engineering, Technology & Applied Science Research
Engineering, Technology & Applied Science Research ENGINEERING, MULTIDISCIPLINARY-
CiteScore
3.00
自引率
46.70%
发文量
222
审稿时长
11 weeks
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